2025
Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection.
CoRR, January, 2025
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models.
CoRR, January, 2025
BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty.
CoRR, January, 2025
2024
Cross-Chain Interoperability and Collaboration for Keyword-Based Embedded Smart Contracts in Internet of Things.
IEEE Internet Things J., March, 2024
Dual-granularity feature fusion in visible-infrared person re-identification.
IET Image Process., March, 2024
Semi-supervised medical image segmentation via hard positives oriented contrastive learning.
Pattern Recognit., February, 2024
CAGAN: Classifier-augmented generative adversarial networks for weakly-supervised COVID-19 lung lesion localisation.
IET Comput. Vis., February, 2024
3D multi-modality Transformer-GAN for high-quality PET reconstruction.
Medical Image Anal., January, 2024
Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model.
IEEE Trans. Instrum. Meas., 2024
Deep Learning for Near-Surface Air Temperature Estimation From FengYun 4A Satellite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Multiscale Attention-UNet-Based Near-Real-Time Precipitation Estimation From FY-4A/AGRI and Doppler Radar Observations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Ma<sup>2</sup>SP: Missing-Aware Prompting With Modality-Adaptive Integration for Incomplete Multi-Modal Survival Prediction.
IEEE Signal Process. Lett., 2024
Source-free domain adaptation via dynamic pseudo labeling and Self-supervision.
Pattern Recognit., 2024
A Self-Learning Multimodal Approach for Fake News Detection.
CoRR, 2024
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification.
CoRR, 2024
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis.
CoRR, 2024
ARANet: Attention-based Residual Adversarial Network with Deep Supervision for Radiotherapy Dose Prediction of Cervical Cancer.
CoRR, 2024
An Explainable Non-local Network for COVID-19 Diagnosis.
CoRR, 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection.
CoRR, 2024
Efficient Image Super-Resolution via Symmetric Visual Attention Network.
CoRR, 2024
SCFormer: Spatial and Channel-wise Transformer with Contrastive Learning for High-Quality PET Image Reconstruction.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024
S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024
Near-Surface Air Temperature Inversion Study Based on U-Net Family with Multi-source Data.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
UMedNeRF: Uncertainty-Aware Single View Volumetric Rendering For Medical Neural Radiance Fields.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024
Uncertainty-Aware Explainable Recommendation with Large Language Models.
Proceedings of the International Joint Conference on Neural Networks, 2024
Efficient Image Super-Resolution via Symmetric Visual Attention Network.
Proceedings of the International Joint Conference on Neural Networks, 2024
Masked Conditional Diffusion Model for Enhancing Deepfake Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024
High fidelity medical image super-resolution based on Medical Multi-Feature Compensation Attention GAN.
Proceedings of the IEEE International Joint Conference on Biometrics, 2024
DCL-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024
Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network.
Neural Process. Lett., December, 2023
Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation.
Int. J. Neural Syst., November, 2023
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.
Medical Image Anal., October, 2023
Multi-level progressive transfer learning for cervical cancer dose prediction.
Pattern Recognit., September, 2023
A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction.
Int. J. Neural Syst., August, 2023
Dual-feature Fusion Attention Network for Small Object Segmentation.
Comput. Biol. Medicine, June, 2023
Pluralistic Face Inpainting With Transformation of Attribute Information.
IEEE Trans. Multim., 2023
Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation.
Knowl. Based Syst., 2023
Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling.
Int. J. Neural Syst., 2023
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields.
CoRR, 2023
Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding.
CoRR, 2023
X-Transfer: A Transfer Learning-Based Framework for Robust GAN-Generated Fake Image Detection.
CoRR, 2023
Improving Cross-dataset Deepfake Detection with Deep Information Decomposition.
CoRR, 2023
Deep Reinforcement Learning for Image-to-Image Translation.
CoRR, 2023
Attacking Important Pixels for Anchor-free Detectors.
CoRR, 2023
Attention Guided Policy Optimization for 3D Medical Image Registration.
IEEE Access, 2023
DiffDP: Radiotherapy Dose Prediction via a Diffusion Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control.
IROS, 2023
Controlling Neural Style Transfer with Deep Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Multi-Modal MRI Image Synthesis via GAN With Multi-Scale Gate Mergence.
IEEE J. Biomed. Health Informatics, 2022
DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting.
,
,
,
,
,
,
,
,
,
,
,
,
Pattern Recognit., 2022
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease.
Pattern Recognit., 2022
Learning a deep dual-level network for robust DeepFake detection.
Pattern Recognit., 2022
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
Medical Image Anal., 2022
D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis.
Knowl. Based Syst., 2022
Unified medical image segmentation by learning from uncertainty in an end-to-end manner.
Knowl. Based Syst., 2022
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.
Knowl. Based Syst., 2022
Semi-supervised NPC segmentation with uncertainty and attention guided consistency.
Knowl. Based Syst., 2022
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
Int. J. Neural Syst., 2022
Multistage semantic-aware image inpainting with stacked generator networks.
Int. J. Intell. Syst., 2022
DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation.
IET Image Process., 2022
Rethinking CAM in Weakly-Supervised Semantic Segmentation.
IEEE Access, 2022
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Contrastive Class-Specific Encoding for Few-Shot Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework.
Medical Image Anal., 2021
End-to-end multimodal image registration via reinforcement learning.
Medical Image Anal., 2021
DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images.
Neurocomputing, 2021
Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion.
Neurocomputing, 2021
Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis.
CoRR, 2021
LR-cGAN: Latent representation based conditional generative adversarial network for multi-modality MRI synthesis.
Biomed. Signal Process. Control., 2021
Face inpainting based on GAN by facial prediction and fusion as guidance information.
Appl. Soft Comput., 2021
Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
3D Transformer-GAN for High-Quality PET Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multi-Task Curriculum Learning For Semi-Supervised Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Adaptive Multi-Organ Loss Based Generative Adversarial Network For Automatic Dose Prediction In Radiotherapy.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Stochastic Actor-Executor-Critic for Image-to-Image Translation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Transferable Adversarial Examples for Anchor Free Object Detection.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Imperceptible Adversarial Examples For Fake Image Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
NIR Iris Challenge Evaluation in Non-cooperative Environments: Segmentation and Localization.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the International IEEE Joint Conference on Biometrics, 2021
2020
Image segmentation of nasopharyngeal carcinoma using 3D CNN with long-range skip connection and multi-scale feature pyramid.
Soft Comput., 2020
Functional neural interactions during adaptive reward learning: An functional magnetic resonance imaging study.
Int. J. Imaging Syst. Technol., 2020
Conformal Feature-Selection Wrappers and ensembles for negative-transfer avoidance.
Neurocomputing, 2020
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection.
CoRR, 2020
A Spatiotemporal Agent for Robust Multimodal Registration.
IEEE Access, 2020
Noise-Robust MRI Upsampling Using Adaptive Local Steering Kernel.
IEEE Access, 2020
Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Squeeze the Ball: Designing an Interactive Playground towards Aiding Social Activities of Children with Low-Function Autism.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
2019
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.
IEEE Trans. Medical Imaging, 2019
Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI.
IEEE Trans. Biomed. Eng., 2019
Patch-wise label propagation for MR brain segmentation based on multi-atlas images.
Multim. Syst., 2019
Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network.
Medical Image Anal., 2019
Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning.
,
,
,
,
,
,
,
,
,
,
IEEE Access, 2019
Target-Dependent Sentiment Classification With BERT.
IEEE Access, 2019
ACNET: Attention-based Convolution Network with Additional Discriminative Features for DCM Classification (S).
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019
Generative Adversarial Networks with Enhanced Symmetric Residual Units for Single Image Super-Resolution.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019
Automatic Vertebrae Recognition from Arbitrary Spine MRI Images by a Hierarchical Self-calibration Detection Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Embeddings and Convolution, Is That the Best You can Do with Sentiment Features?
Proceedings of the International Joint Conference on Neural Networks, 2019
CCNET: Cascading Convolutions for Cardiac Segmentation.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019
PWGAN: wasserstein GANs with perceptual loss for mode collapse.
Proceedings of the ACM Turing Celebration Conference - China, 2019
Multimodality white matter tract segmentation using CNN.
Proceedings of the ACM Turing Celebration Conference - China, 2019
2018
An Energy-Efficient Network-Wide Broadcast Protocol for Asynchronous Wireless Sensor Networks.
IEEE Wirel. Commun. Lett., 2018
CUNet: A Compact Unsupervised Network For Image Classification.
IEEE Trans. Multim., 2018
Automatic detection of boundary points based on local geometrical measures.
Soft Comput., 2018
Noise robust single image super-resolution using a multiscale image pyramid.
Signal Process., 2018
Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications.
Neural Process. Lett., 2018
Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation.
Neuroinformatics, 2018
3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
NeuroImage, 2018
DTNs for monitoring of communicable diseases in urban environments.
J. Comput. Methods Sci. Eng., 2018
ICANet: a simple cascade linear convolution network for face recognition.
EURASIP J. Image Video Process., 2018
Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Tumor segmentation via multi-modality joint dictionary learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Outlier Detection Based on the Data Structure.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Noise Robust Single Image Super-Resolution Using a Multiscale Image Pyramid.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Table War: A Tower-Defense Game Device with Augmented Reality Projection.
Proceedings of the Sixth International Symposium of Chinese CHI, 2018
Deep Learning intra-image and inter-images features for Co-saliency detection.
Proceedings of the British Machine Vision Conference 2018, 2018
Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning.
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
IEEE Trans. Biomed. Eng., 2017
Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations.
NeuroImage, 2017
A Semi-supervised manifold alignment algorithm and an evaluation method based on local structure preservation.
Neurocomputing, 2017
Optimizing Opportunistic Routing in Asynchronous Wireless Sensor Networks.
IEEE Commun. Lett., 2017
Second-Order Regression-Based MR Image Upsampling.
Comput. Math. Methods Medicine, 2017
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Research on quantitative quality evaluation method based on double cycles.
Proceedings of the ACM Turing 50th Celebration Conference, 2017
2016
Analysis of micro-Doppler signatures of vibration targets using EMD and SPWVD.
Neurocomputing, 2016
Diffusion-Weighted Images Superresolution Using High-Order SVD.
Comput. Math. Methods Medicine, 2016
Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
2015
Image Motion Restoration Using Fractional-Order Gradient Prior.
Informatica, 2015
A New Framework for Container Code Recognition by Using Segmentation-Based and HMM-Based Approaches.
Int. J. Pattern Recognit. Artif. Intell., 2015
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
2012
Improved DCT-Based Nonlocal Means Filter for MR Images Denoising.
Comput. Math. Methods Medicine, 2012